2018) Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems.

Understanding of farmers' influences relating to the adoption of innovations is imperative for the Irish dairy sector to improve efficiencies and productivity. There is a particular need for a better appreciation of how farmers' grassland management practices are shaped. The Spring Rotation Planner (SRP) is a management tool that divides the area of a farm into weekly portions and takes the estimation out of planning the first grazing rotation. It offers a cost-saving alternative on many dairy farms, which could contribute to strengthening the competitiveness of the sector. Adoption rates of the SRP amongst farmers have been low despite extensive promotion of its advantages. This study therefore aims to use psychological constructs to analyse factors that affect the adoption of the SRP by commercial dairy farmers in Ireland. Dairy farmers (n=256) were surveyed from different regions within the country. Principal Component Analysis was used to empirically confirm the hypothesised Theory of Planned Behaviour (TPB) beliefs. Cluster analysis was thereafter employed as classification criteria to cluster respondents into types. The TPB was subsequently applied to explain intention to implement the SRP. Two clusters of farmers were elicited; low and high adopters of the SRP. Low-Adopters of the SRP were characterised by their high sense of resource constraint. It is recommended that carefully planned communication, targeted at the different farmer types, can help encourage uptake of the SRP.

a b s t r a c tVine-growing in the Less-Favoured Areas of Greece is facing multiple challenges that might lead to its abandonment. In an attempt to maintain rural populations, Rural Development Schemes have been created that offer the opportunity to rural households to maintain or expand their farming businesses including vine-growing. This paper stems from a study that used data from a cross-sectional survey of 204 farmers to investigate how farming systems and farmers' perception of corruption, amongst other socio-economic factors, affected their decisions to continue vine-growing through participation in Rural Development Schemes, in three remote Less-Favoured Areas of Greece. The Theory of Planned Behaviour was used to frame the research problem with the assumption being that an individual's intention to participate in a Scheme is based on their prior beliefs about it. Data from the survey were reduced and simplified by the use of non-linear principal component analysis. The ensuing variables were used in selectivity corrected ordered probit models to reveal farmers' attitudes towards viticulture and rural development. It was found that economic factors, perceived corruption and farmers' attitudes were significant determinants on whether to participate in the Schemes. The research findings highlight the important role of perceived corruption and the need for policies that facilitate farmers' access to decision making centres.

Phosphorus (P) transfer from land to water is a source of diffuse pollution that contributes to the decline in ecological status of river bodies in the European Union. The Water Framework Directive (2000/60/EC) provides for the protection of water bodies that represent pristine or near-pristine condition, classified as high ecological status through the adoption of an agri-environmental decision making process that promotes stakeholder participation. However, successful implementation of agri-environmental policies can prove challenging when faced with uncertainties and diverging opinions due to the variety of actors involved. This study adopted a participatory approach including stakeholders with conflicting interests in the selection of P transfer mitigation po licies. Fifteen P transfer mitigation options were shortlisted based on agronomic and environmental data from a case-study agricultural catchment and presented to a group of experts and farmers. Results showed significant disparities between perceived effectiveness by farmers and experts groups, with experts prioritizing problems related to connectivity issues, while farmers to soil compaction and erosion. In addition, measured agronomic and environmental variables were used to model effectiveness from a decision support tool (FARMSCOPER) and compared with stakeholder groups' perceived effectiveness. This approach combined the scientific research with the empirical knowledge of farmers and the modelling of quantified field and farm data. This study showed that stakeholders are diverse, and perceive effectiveness based on group-specific operational and social factors. Experts identified effectiveness at catchment scale, whilst farmers identified field scale effectiveness. For decision support tools and simulation models to be beneficial for policy makers, they need to be calibrated to local conditions and farm typologies to select the right measure at farm scale. The study recommends improved knowledge transfer between interested actors and the need for integration of conflicting opinions in policy design. A bottom-up approach to decision making is suggested, to assist in the decentralization of the procedures towards more effectively implemented P transfer mitigation policies.